Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

High-performance and low-cost FBG strain sensor demodulation system assisted by artificial neural network algorithm

Not Accessible

Your library or personal account may give you access

Abstract

A high-performance, low-cost FBG strain sensor demodulation system was studied, which can achieve ± 6 pm central wavelength interrogation precision without an optical spectrum analyzer, and with favorable repeatability.

© 2022 The Author(s)

PDF Article
More Like This
Research on AWG-based demodulation of overlapping FBGs via a neural network

Zizheng Yue and Di Zheng
Th6.59 Optical Fiber Sensors (OFS) 2023

Simultaneous strain-temperature analysis by machine learning assisted FBG sensor

Koustav Dey, Nikhil Vangety, and Sourabh Roy
ATh2K.5 CLEO: Applications and Technology (CLEO:A&T) 2022

High-Speed Interrogation of Embedded Fiber Bragg Grating (FBG) Sensors Fabricated by Ultrasonic Additive Manufacturing

Jieru Zhao, Yuqi Li, Kehao Zhao, Qirui Wang, Philips Swinehart, Charles Jewart, Chris Petrie, and Kevin P. Chen
W4.40 Optical Fiber Sensors (OFS) 2022

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.